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SHEPHERD: Just when I thought I was out... they pull me back in

Don't get me wrong, I was a quite willing participant with all of this. 

作者: 最后更新时间: 2018/07/10 - 08:08
Article

Case Study – Using the Intel® Deep Learning SDK for Training Image Recognition Models

In this case study, we explore LeNet*,one of the prominent image recognition topologies for handwritten digit recognition, and show how the training tool can be used to visually set up, tune, and train the Mixed National Institute of Standards and Technology (MNIST) dataset on Caffe* optimized for Intel® architecture. Data scientists are the intended audience.
作者: Meghana R. (Intel) 最后更新时间: 2018/01/24 - 15:35
Article

Unattended Baggage Detection Using Deep Neural Networks in Intel® Architecture

In a world becoming ever more attuned to potential security threats, the need to deploy sophisticated surveillance systems is increasing. This article discusses inferencing a Microsoft Common Objects in Context (MS-COCO) detection model for detecting unattended baggage in a train station.
作者: 管理 最后更新时间: 2018/05/08 - 09:38
Article

Power System Infrastructure Monitoring Using Deep Learning on Intel® Architecture

The work in this paper evaluates the performance of Intel® Xeon® processor powered machines for running deep learning on the GoogleNet* topology (Inception* v.
作者: 管理 最后更新时间: 2018/05/08 - 09:20
Article

使用英特尔® 架构中的深度神经网络检测无人看管行李

随着世界中面临的潜在安全威胁变得越来越多,企业对部署复杂的监控系统的需求开始不断增长。能够作为一个直观的“机器人眼睛”,准确实时地检测无人看管行李的智能系统,已经成为机场、火车站、商场和其他公共区域的安保人员的关键需求。本文介绍了用于火车站的无人看管行李检测的 Microsoft Common Objects in Context (MS-COCO) 检测模式。

作者: 管理 最后更新时间: 2018/05/08 - 09:38
Article

Faster Convolutional Neural Network Models Improve the Screening of Cervical Cancer

The goal of the Kaggle* Competition sponsored by Intel and MobileODT* was to use artificial intelligence to improve the precision and accuracy of cervical cancer screening. This case study follows the process used by the first-place-winning team, TEST (Towards Empirically Stable Training), to create an algorithm that would improve this life-saving diagnostic procedure.
作者: 管理 最后更新时间: 2019/02/15 - 14:39
Article

Deep Learning Improves Cervical Cancer Accuracy by 81%, Using Intel® Technology

The goal of the Kaggle* Competition sponsored by Intel and MobileODT* was to use artificial intelligence to improve the precision and accuracy of cervical cancer screening. This case study details the process used by special prize winner Luis Andre Dutra e Silva to improve cervical cancer screenings.
作者: 管理 最后更新时间: 2019/02/18 - 14:26
Article

How Can AI Advance Cervical Cancer Detection Using Convolutional Neural Networks

The goal of the Kaggle* Competition sponsored by Intel and MobileODT* was to use artificial intelligence to improve the precision and accuracy of cervical cancer screening. This case study follows the process used by second-place winner Indrayana Rustandi to build a deep learning model improving this life-saving diagnostic procedure.
作者: 管理 最后更新时间: 2019/08/15 - 12:51
Article

Testing of Six Different AI-Based Models: A Deep Dive to Improve Cervical Cancer Screening

The goal of the Kaggle* Competition sponsored by Intel and MobileODT* was to use artificial intelligence to improve the precision and accuracy of cervical cancer screening. This case study follows the process used by the third-place winning team, GRXJ. They pooled their respective skill sets to create an algorithm that would improve this life-saving diagnostic procedure.
作者: 管理 最后更新时间: 2019/02/21 - 11:16
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Parallel Universe Magazine - Issue 26, October 2016

作者: 管理 最后更新时间: 2018/12/12 - 18:08